The Ethereum blockchain is a distributed database of transactions, where the Gas Oracles suggest the users the Gas price’s categories to get a transaction recorded. The paper explores the idea that the Gas Oracles are based on a data-centered model which does not provide users with a reliable prediction. We present an empirical study to test the reliability of the existing Gas Oracles from both the points of view of the Gas price predictions and the existing categories.

The study reveals that the Gas Oracles’ predictions fail more often than advertised and shows that the Gas price categories do not correspond to the categories set by the users. Therefore we propose a user-oriented model for the Oracles’ Gas price prediction, based on two Gas price categories actually corresponding to the users’ interests and a new method to estimate the Gas price. The new method, performing the Poisson regression at smaller intervals of time, predicts the Gas price to pay with a lower margin of error when compared to the actual one. The predictions based on the user-oriented model thus provide the users with a more effective Gas price to set.

以太坊区块链是一个分布式交易数据库，Gas Oracles 向用户建议Gas 价格的类别以记录交易。该论文探讨了 Gas Oracles 基于以数据为中心的模型的想法，该模型无法为用户提供可靠的预测。我们提出了一项实证研究，从Gas 价格预测和现有类别的角度来测试现有 Gas Oracles 的可靠性。

该研究表明，Gas Oracles 的预测失败的次数比宣传的要多，并表明 Gas 价格类别与用户设置的类别不符。因此，我们提出了一个面向用户的 Oracles 的Gas 价格预测模型，基于两个实际对应用户兴趣的Gas 价格类别和一种估计 Gas 价格的新方法。新方法以较小的时间间隔执行泊松回归，与实际价格相比，以较低的误差幅度预测要支付的Gas 价格。因此，基于面向用户的模型的预测为用户提供了更有效的Gas 价格来设置。